Gherardo Varando
Title
Cited by
Cited by
Year
A survey on multi‐output regression
H Borchani, G Varando, C Bielza, P Larranaga
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 5 (5 …, 2015
3382015
Decision boundary for discrete Bayesian network classifiers.
G Varando, C Bielza, P Larranaga
J. Mach. Learn. Res. 16 (1), 2725-2749, 2015
262015
Decision functions for chain classifiers based on Bayesian networks for multi-label classification
G Varando, C Bielza, P Larrañaga
International Journal of Approximate Reasoning 68, 164-178, 2016
122016
Expressive power of binary relevance and chain classifiers based on Bayesian networks for multi-label classification
G Varando, C Bielza, P Larranaga
European Workshop on Probabilistic Graphical Models, 519-534, 2014
102014
The R package stagedtrees for structural learning of stratified staged trees
F Carli, M Leonelli, E Riccomagno, G Varando
arXiv preprint arXiv:2004.06459, 2020
92020
Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values
S Weichwald, ME Jakobsen, PB Mogensen, L Petersen, N Thams, ...
https://arxiv.org/abs/2002.09573, 2020
62020
Learning DAGs without imposing acyclicity
G Varando
arXiv preprint arXiv:2006.03005, 2020
52020
Conditional density approximations with mixtures of polynomials
G Varando, PL López‐Cruz, TD Nielsen, P Larranaga, C Bielza
International Journal of Intelligent Systems 30 (3), 236-264, 2015
52015
Graphical continuous Lyapunov models
G Varando, NR Hansen
Conference on Uncertainty in Artificial Intelligence, 989-998, 2020
32020
MultiMap: A tool to automatically extract and analyse spatial microscopic data from large stacks of confocal microscopy images
G Varando, R Benavides-Piccione, A Muñoz, A Kastanauskaite, C Bielza, ...
Frontiers in neuroanatomy 12, 37, 2018
32018
A fast Metropolis-Hastings method for generating random correlation matrices
I Córdoba, G Varando, C Bielza, P Larrañaga
International Conference on Intelligent Data Engineering and Automated …, 2018
22018
Context-Specific Causal Discovery for Categorical Data Using Staged Trees
M Leonelli, G Varando
arXiv preprint arXiv:2106.04416, 2021
12021
On generating random Gaussian graphical models
I Córdoba, G Varando, C Bielza, P Larrañaga
International Journal of Approximate Reasoning 125, 240-250, 2020
12020
A partial orthogonalization method for simulating covariance and concentration graph matrices
I Córdoba, G Varando, C Bielza, P Larrañaga
International Conference on Probabilistic Graphical Models, 61-72, 2018
12018
A new class of generative classifiers based on staged tree models
F Carli, M Leonelli, G Varando
arXiv preprint arXiv:2012.13798, 2020
2020
Sparse Cholesky covariance parametrization for recovering latent structure in ordered data
I Córdoba, C Bielza, P Larrañaga, G Varando
IEEE Access 8, 154614-154624, 2020
2020
Markov Property in Generative Classifiers
G Varando, C Bielza, P Larrañaga, E Riccomagno
arXiv preprint arXiv:1811.04759, 2018
2018
Theoretical studies on bayesian network classifiers
G Varando
ETS de Ingenieros Informáticos (UPM), 2018
2018
Algebraic views on classification problems
G Varando, E Riccomagno
Abstracts of the Ninth Workshop on Simulation 1, 2, 2018
2018
Learning Granger Causal Feature Representations
G Varando, MA Fernández-Torres, G Camps-Valls
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Articles 1–20